Data in RDF format grows greatly and more so if combined with geographic informa- tion. The GeoSPARQL standard defines a vocabulary and functions for defining geograp- hic information in RDF. Currently, there are tools that use various technologies to store and process RDF. One of them are the NoSQL-RDF tools that use NoSQL technologies and others are those that use relational databases. NoSQL technologies are optimized for handling large volumes of information and distributed processing, while relational ones are not. Within tools that use relational databases there is a GeoSPARQL implementation, however for NoSQL-RDF tools does not yet exist.
In this work, the GeoSPARQL standard was implemented on a NoSQL-RDF database to take advantage of the NoSQL technologies on large volumes of RDF data. The imple- mentation consists of two components, the query processor and the operations processor that work together to process GeoSPARQL. Once the implementation was completed, its operation was evaluated by the execution and comparison of the results obtained from our tool with those provided by the GeoSPARQL implementation performed on Apache Marmotta.